SuggestABook: A Book Recommender Engine with Personality based Mapping

Recommendation systems are used to filter information to seek or predict the preference of a user for a particular item. Online book recommender engines recommend books to the users based on their categories of interest. This paper proposes a book recommender system which accepts the user’s preferences as well as analyses Facebook profile to get user’s data and recommends books with a certain degree of support and confidence. It makes use of continuous learning algorithms for recommending books to the user each time the user is logged in. In case a user does not have a Facebook account, his preferences will be accepted explicitly.